VolodymyrChapman

VolodymyrChapman's Stars

• SpacehuhnTech/esp8266_deauther

  Affordable WiFi hacking platform for testing and learning

  Language:C13.6k6371k2.6k

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.9k836611.7k

• sksq96/pytorch-summary

  Model summary in PyTorch similar to `model.summary()` in Keras

  Language:Python4k37151416

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python2.9k613471.2k

• hyperopt/hyperopt-sklearn

  Hyper-parameter optimization for sklearn

  Language:Python1.6k58138274

• mahmoodlab/CLAM

  Open source tools for computational pathology - Nature BME

  Language:Python1.2k21265373

• lebedov/scikit-cuda

  Python interface to GPU-powered libraries

  Language:Python99249223178

• fawazahmed0/Latest-adb-fastboot-installer-for-windows

  A Simple Android Driver installer tool for windows (Always installs the latest version)

  517131376

• histolab/histolab

  Library for Digital Pathology Image Processing

  Language:Python384615258

• choosehappy/HistoQC

  HistoQC is an open-source quality control tool for digital pathology slides

  Language:JavaScript2699247106

• BiomedSciAI/histocartography

  A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

  Language:Python24473757

• Rodmg/esptool-gui

  ESP8266 ROM flasher GUI, based on esptool-ck

  Language:C++18812740

• nadeemlab/DeepLIIF

  Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

  Language:Python18262267

• zizhaozhang/nmi-wsi-diagnosis

  Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

  Language:Python12961041

• choosehappy/PytorchDigitalPathology

  An implementation of Unet for pytorch designed for digital pathology segmentation

  Language:Jupyter Notebook12171166

• gschorcht/i2c-ch341-usb

  A Linux kernel driver for ch341 emulating the I2C bus

  Language:C10691037

• uhlmanngroup/splinedist

  SplineDist: Automated Cell Segmentation with Spline Curves

  Language:Jupyter Notebook6581215

• saezlab/CARNIVAL

  CAusal Reasoning for Network Identification with integer VALue programming in R

  Language:R57105829

• pietrobarbiero/logic_explained_networks

  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.

  Language:Python463310

• stanfordmlgroup/DLBCL-Morph

  DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning

  Language:Jupyter Notebook36429

• koriavinash1/BioExp

  Explainability of Deep Learning Models

  Language:Python29675

• genedisco/genedisco-starter

  The starter repository for submissions to the GeneDisco challenge for optimized experimental design in genetic perturbation experiments.

  Language:Python242011

• alexjfoote/reetoolbox

  Toolbox for measuring adversarial robustness to many transforms

  Language:Jupyter Notebook19222

• aetherAI/stain-mixup

  The repository provide augment function of "Stain mix-up: Unsupervised domain generalization for histopathology images"

  Language:Python12211

• ML-Bioinfo-CEITEC/ECCB2021

  ECCB2021 tutorial: Inside the ‘Black Box’: Explainable Deep Learning Models For Image and Sequence Classification

  Language:Jupyter Notebook10506

• choosehappy/QuPathPaquoIntegration

  Code for the blogpost showing how to use Paquo to interact with, and classify, objects in QuPath with machine learning

  Language:Jupyter Notebook9103

• luisacutillo78/scRNAseq_Hackathon

  Language:R8281

• choosehappy/iCAV-Pr

  Code for the Circulation paper: "Computational Analysis of Routine Biopsies Improves Diagnosis and Prediction of Cardiac Allograft Vasculopathy" 2022

  Language:Jupyter Notebook210

• moboehland/thyroidclassification

  Language:Python2233

• Ycblue/TransMIL

  Implementation of the TransMIL model

  Language:Python1100